Senior Machine Learning Engineer

BEES; Campinas; Presencial; BRL 180 000 - 320 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Performance bonus

Attendance bonus

Casual dress

Days off

Health, dental, and life insurance

Ambev product discounts

Education support

Language training platforms

Resumo da oferta

BEES in Brazil is seeking a Senior ML Platform Architect to shape the end-to-end ML lifecycle and ML pipeline strategy. You will architect the platform, align with data, platform, and product teams, and drive scalable, production-ready solutions.

You'll design reusable model development frameworks, build observability across training and deployment, and optimize deployments to meet SLAs while controlling costs.

Qualificações

• Bachelor's degree in computer science, engineering, mathematics, or any quantitative field; a master's degree is a plus.
• Experience with ML platform architecture (feature stores, model registries, training and inference pipelines).
• Strong systems thinking around scalability, reliability, latency and cost.
• Software design patterns for production-ready ML systems.
• Proficiency in Python, PySpark and SQL; Java, Rust and NodeJS are a plus.

Responsabilidades

• Drive BEES AI’s mission, vision, and ML strategy into concrete technical roadmaps and align architecture and standards with long-term goals.
• Own technical end-to-end delivery of ML pipelines—from architecture and data/feature pipelines through model development, deployment, and production scaling.
• Design and standardize the ML model development framework to improve consistency and reuse across teams.
• Build observability across the model lifecycle via monitoring, logging, and alerting for performance, quality, and drift.
• Ensure optimized deployments that minimize cost and maximize quality while meeting SLAs.

Conhecimentos

Python

PySpark

SQL

Kubernetes

Databricks

Terraform

Azure DevOps

Azure Cloud

ML Frameworks

Scikit-Learn

Pytorch

TensorFlow

ONNX

Formação académica

Bachelor's degree in CS/Engineering/Math

Master's degree preferred

Ferramentas

BentoML

Kedro

Seldon

KServe

Triton

TensorFlow

PyTorch

ONNX

Scikit-Learn

Descrição da oferta de emprego

Join us to build the future of B2B commerce!

BEES is AB InBev’s B2B platform. Through our ecosystem,merchantsand retailers across 29 countries can stock their businesses quickly, easily, and securely.

At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow.

Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is notjust important. It makes a difference!

What you\'ll do

• Drive BEES AI’s mission, vision, and ML strategy into concrete technical roadmaps and align architecture and standards with long-term goals.
• Own technical end-to-end delivery of ML pipelines—from architecture and data/feature pipelines through model development, deployment, and production scaling—in partnership with data, platform, and product teams.
• Design and standardize the ML model development framework (project structure, experimentation, versioning, reproducibility) to improve consistency and reuse across teams.
• Build and implement observability across the model lifecycle (training and production) via monitoring, logging, and alerting for performance, quality, and drift.
• Ensure optimized deployments that minimize cost and maximize quality (e.g. scaling, resource allocation, inference optimization) while meeting SLAs.

What you\'ll need

• Bachelor\'s degree in computer science, engineering, mathematics, or any quantitative field. A master\'s degree is a plus.
• Relevant experience with ML platform architecture (e.g. feature stores, model registries, training and inference pipelines).
• Systems thinking (scalability, reliability, latency, cost)
• Software design patterns for building maintainable, production-ready ML systems.
• Python, PySpark and SQL. Java, Rust and NodeJS is a plus
• Kubernetes, Databricks, Terraform, Azure Devops (Git), Azure Cloud, ML Frameworks (BentoML, Kedro, Seldon, KServe, Triton Inference Server, etc.) and ML Libraries (Scikit Learn, Pytorch, Tensor Flow, ONNX, etc.)

More about you

• You´re motivated by building up world class solutions that impacts millions of users all over the world;
• You´re creative when solving problems and is continuously seeking improvements for processes and solutions;
• You can communicate clearly with your team and the company to identify issues and demands;
• You have the autonomy to recognize the current and new priorities, evaluating the impact of their outcomes in the final result.

What We Offer

• Performance based bonus*
• Attendance Bonus*
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Discounts on Ambev products*
• School materials assurance
• Language and training platforms

Equal Opportunity & Affirmative Action

ABI GrowthGroup is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

Demographic Brazil

ABInBev is committed to creating a diverse and inclusive workforce and culture. We conduct confidential surveys to better understand & ensure we provide equal opportunity throughout our end-to-end recruitment process. Individuals seeking employment at ABInBev are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

When you apply to a job on this site, the personal information contained in your application will be collected by ABINBEV SERVICES LLC. Your personal information will be processed in accordance with the law for the purposes of managing ABINBEV’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes.

On a voluntarily basis and subject to receiving your express consent, you’ll be asked demographic questions about your ethnicity, gender, sexual orientation and ability status. We collect this information for the purposes of supporting a diverse and inclusive workforce - it will not be considered in the hiring process or thereafter and all information will be reviewed collectively rather than individually. We won’t sell or share this information with third parties, but please note that we use Greenhouse Software Inc to manage the recruitment and hiring process on our behalf.

Your personal information will be retained by us for 2 (two) years from collection. You have the right to request access to your personal information, to request that your personal information be rectified or erased, and to request that processing of your personal data be restricted at any time. You can do so by contacting https://contactus.ab-inbev.com/ if you are located outside Europe, and emailing [e-mail] if you are located in Europe. We expect that our procedures will deal fairly and promptly with your request. However, if you remain dissatisfied, you have the right to lodge a complaint with your local data protection authority.

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